2009 | ||
---|---|---|
57 | EE | Daniel Lowd, Nicholas Kushmerick: Using salience to segment desktop activity into projects. IUI 2009: 463-468 |
2008 | ||
56 | EE | Frank McCarey, Mel Ó Cinnéide, Nicholas Kushmerick: Knowledge reuse for software reuse. Web Intelligence and Agent Systems 6(1): 59-81 (2008) |
2006 | ||
55 | Nicholas Kushmerick, Tessa A. Lau, Mark Dredze, Rinat Khoussainov: Activity-Centric Email: A Machine Learning Approach. AAAI 2006 | |
54 | EE | Martina Naughton, Nicholas Kushmerick, Joe Carthy: Clustering Sentences for Discovering Events in News Articles. ECIR 2006: 535-538 |
53 | EE | Frank McCarey, Mel Ó Cinnéide, Nicholas Kushmerick: A Recommender Agent for Software Libraries: An Evaluation of Memory-Based and Model-Based Collaborative Filtering. IAT 2006: 154-162 |
52 | EE | Frank McCarey, Mel Ó Cinnéide, Nicholas Kushmerick: Recommending Library Methods: An Evaluation of the Vector Space Model (VSM) and Latent Semantic Indexing (LSI). ICSR 2006: 217-230 |
51 | EE | Mark Dredze, Tessa A. Lau, Nicholas Kushmerick: Automatically classifying emails into activities. IUI 2006: 70-77 |
50 | EE | Aidan Finn, Nicholas Kushmerick: Learning to classify documents according to genre. JASIST 57(11): 1506-1518 (2006) |
2005 | ||
49 | EE | Rinat Khoussainov, Nicholas Kushmerick: Email Task Management: An Iterative Relational Learning Approach. CEAS 2005 |
48 | EE | Catalina Danis, Wendy A. Kellogg, Tessa A. Lau, Mark Dredze, Jeffrey Stylos, Nicholas Kushmerick: Managers' email: beyond tasks and to-dos. CHI Extended Abstracts 2005: 1324-1327 |
47 | EE | Neil Ireson, Fabio Ciravegna, Mary Elaine Califf, Dayne Freitag, Nicholas Kushmerick, Alberto Lavelli: Evaluating machine learning for information extraction. ICML 2005: 345-352 |
46 | EE | Rinat Khoussainov, Andreas Heß, Nicholas Kushmerick: Ensembles of biased classifiers. ICML 2005: 425-432 |
45 | EE | Rinat Khoussainov, Nicholas Kushmerick: Relational Learning for Email Task Management. IJCAI 2005: 1610-1612 |
44 | EE | Nicholas Kushmerick, Tessa A. Lau: Automated email activity management: an unsupervised learning approach. IUI 2005: 67-74 |
43 | EE | Andreas Heß, Rinat Khoussainov, Nicholas Kushmerick: Ensemble Learning with Biased Classifiers: The Triskel Algorithm. Multiple Classifier Systems 2005: 226-235 |
42 | Frank McCarey, Mel Ó Cinnéide, Nicholas Kushmerick: Knowledge Reuse for Software Reuse. SEKE 2005: 115-120 | |
41 | EE | Frank McCarey, Mel Ó Cinnéide, Nicholas Kushmerick: An Eclipse Plugin to Support Agile Reuse. XP 2005: 162-170 |
40 | EE | Frank McCarey, Mel Ó Cinnéide, Nicholas Kushmerick: Rascal: A Recommender Agent for Agile Reuse. Artif. Intell. Rev. 24(3-4): 253-276 (2005) |
2004 | ||
39 | EE | Aidan Finn, Nicholas Kushmerick: Multi-level Boundary Classification for Information Extraction. ECML 2004: 111-122 |
38 | EE | Andreas Heß, Nicholas Kushmerick: Iterative Ensemble Classification for Relational Data: A Case Study of Semantic Web Services. ECML 2004: 156-167 |
37 | EE | Eddie Johnston, Nicholas Kushmerick: Aggregating Web Services with Active Invocation and Ensembles of String Distance Metrics. EKAW 2004: 386-402 |
36 | EE | Andreas Heß, Eddie Johnston, Nicholas Kushmerick: ASSAM: A Tool for Semi-automatically Annotating Semantic Web Services. International Semantic Web Conference 2004: 320-334 |
35 | EE | Rinat Khoussainov, Nicholas Kushmerick: Specialisation dynamics in federated web search. WIDM 2004: 112-119 |
34 | EE | Michael P. O'Mahony, Neil J. Hurley, Nicholas Kushmerick, Guenole C. M. Silvestre: Collaborative recommendation: A robustness analysis. ACM Trans. Internet Techn. 4(4): 344-377 (2004) |
2003 | ||
33 | EE | Nicholas Kushmerick, Bernd Thomas: Adaptive Information Extraction: Core Technologies for Information Agents. AgentLink 2003: 79-103 |
32 | EE | Rinat Khoussainov, Nicholas Kushmerick: Automated index management for distributed web search. CIKM 2003: 386-393 |
31 | EE | Nicholas Kushmerick: Learning to Invoke Web Forms. CoopIS/DOA/ODBASE 2003: 997-1013 |
30 | EE | Rinat Khoussainov, Nicholas Kushmerick: Distributed Web Search as a Stochastic Game. Distributed Multimedia Information Retrieval 2003: 58-69 |
29 | EE | Rinat Khoussainov, Nicholas Kushmerick: Optimising Performance of Competing Search Engines in Heterogeneous Web Environments. ECML 2003: 217-228 |
28 | EE | Andreas Heß, Nicholas Kushmerick: Automatically attaching semantic metadata to Web Services. IIWeb 2003: 111-116 |
27 | Rinat Khoussainov, Nicholas Kushmerick: Learning to Compete in Heterogeneous Web Search Environments. IJCAI 2003: 1429-1431 | |
26 | EE | Andreas Heß, Nicholas Kushmerick: Learning to Attach Semantic Metadata to Web Services. International Semantic Web Conference 2003: 258-273 |
25 | EE | Maya Dimitrova, Nicholas Kushmerick: Dimensions of Web Genre. WWW (Posters) 2003 |
24 | EE | Rinat Khoussainov, Nicholas Kushmerick: Performance Management in Competitive Distributed Web Search. Web Intelligence 2003: 532-536 |
2002 | ||
23 | EE | J. P. McGowan, Nicholas Kushmerick, Barry Smyth: Who Do You Want to Be Today? Web Personae for Personalised Information Access. AH 2002: 514-517 |
22 | EE | Aidan Finn, Nicholas Kushmerick, Barry Smyth: Genre Classification and Domain Transfer for Information Filtering. ECIR 2002: 353-362 |
21 | EE | Nicholas Kushmerick: Robustness Analyses of Instance-Based Collaborative Recommendation. ECML 2002: 232-244 |
20 | EE | Nicholas Kushmerick: Finite-State Approaches to Web Information Extraction. SCIE 2002: 77-91 |
19 | EE | Fergus Toolan, Nicholas Kushmerick: Mining Web Logs for Personalized Site Maps. WISE Workshops 2002: 232-237 |
18 | Taurai Tapiwa Chinenyanga, Nicholas Kushmerick: An expressive and efficient language for XML information retrieval. JASIST 53(6): 438-453 (2002) | |
2001 | ||
17 | EE | Aidan Finn, Nicholas Kushmerick, Barry Smyth: Fact or Fiction: Content Classification for Digital Libraries. DELOS Workshop: Personalisation and Recommender Systems in Digital Libraries 2001 |
16 | EE | Clodagh Moriarty, Nicholas Kushmerick, Barry Smyth: Personalised Intelligent Tutoring for Digital Libraries. DELOS Workshop: Personalisation and Recommender Systems in Digital Libraries 2001 |
15 | Taurai Tapiwa Chinenyanga, Nicholas Kushmerick: Expressive Retrieval from XML Documents. SIGIR 2001: 163-171 | |
14 | EE | Taurai Tapiwa Chinenyanga, Nicholas Kushmerick: Similarity-based Queries for XML Databases Using ELIXIR. WWW Posters 2001 |
13 | Taurai Tapiwa Chinenyanga, Nicholas Kushmerick: Expressive and Efficient Ranked Querying of XML data. WebDB 2001: 1-6 | |
2000 | ||
12 | Dayne Freitag, Nicholas Kushmerick: Boosted Wrapper Induction. AAAI/IAAI 2000: 577-583 | |
11 | EE | Nicholas Kushmerick, James McKee, Fergus Toolan: Towards Zero-Input Personalization: Referrer-Based Page Prediction. AH 2000: 133-143 |
10 | Dieter Fensel, Craig A. Knoblock, Nicholas Kushmerick, Marie-Christine Rousset: Workshop on Intelligent Information Integration (III-99). AI Magazine 21(1): 91-94 (2000) | |
9 | EE | Nicholas Kushmerick: Wrapper induction: Efficiency and expressiveness. Artif. Intell. 118(1-2): 15-68 (2000) |
8 | Nicholas Kushmerick: Wrapper verification. World Wide Web 3(2): 79-94 (2000) | |
1999 | ||
7 | Nicholas Kushmerick: Regression testing for wrapper maintenance. AAAI/IAAI 1999: 74-79 | |
6 | EE | Nicholas Kushmerick: Learning to Remove Internet Advertisements. Agents 1999: 175-181 |
1997 | ||
5 | Nicholas Kushmerick, Daniel S. Weld, Robert B. Doorenbos: Wrapper Induction for Information Extraction. IJCAI (1) 1997: 729-737 | |
1996 | ||
4 | Nicholas Kushmerick: Cognitivism and Situated Action: Two Views on Intelligent Agency. Computers and Artificial Intelligence 15(5): (1996) | |
1995 | ||
3 | EE | Nicholas Kushmerick, Steve Hanks, Daniel S. Weld: An Algorithm for Probabilistic Planning. Artif. Intell. 76(1-2): 239-286 (1995) |
1994 | ||
2 | Nicholas Kushmerick, Steve Hanks, Daniel S. Weld: An Algorithm for Probabilistic Least-Commitment Planning. AAAI 1994: 1073-1078 | |
1 | Nicholas Kushmerick: Exploiting the Environment: Urban Navigation as a Case Study. AAAI 1994: 1469 |